SELECTED APPLICATIONS OF DEEP NEURAL NETWORKS IN SKIN LESION DIAGNOSTIC

Magdalena Michalska

doi:10.35784/iapgos.2804

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Published: Dec 20, 2021

DOI: https://doi.org/10.35784/iapgos.2804

Issue Vol. 11 No. 4 (2021)

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DOI

https://doi.org/10.35784/iapgos.2804

Authors

Magdalena Michalska

mmagamichalska@gmail.com

Lublin University of Technology, Department of Electronics and Information Technology, Poland

http://orcid.org/0000-0002-0874-3285

Abstract

The article provides an overview of selected applications of deep neural networks in the diagnosis of skin lesions from human dermatoscopic images, including many dermatological diseases, including very dangerous malignant melanoma. The lesion segmentation process, features selection and classification was described. Application examples of binary and multiclass classification are given. The described algorithms have been widely used in the diagnosis of skin lesions. The effectiveness, specificity, and accuracy of classifiers were compared and analysed based on available datasets.

Keywords:

dermatoscopic images, neural networks, melanoma, skin lesions

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Michalska, M. (2021). SELECTED APPLICATIONS OF DEEP NEURAL NETWORKS IN SKIN LESION DIAGNOSTIC. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 11(4), 18–21. https://doi.org/10.35784/iapgos.2804

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